Implementation of Protein Motif Prediction System Using integrated Motif Resources


The KIPS Transactions:PartD, Vol. 10, No. 4, pp. 679-688, Aug. 2003
10.3745/KIPSTD.2003.10.4.679,   PDF Download:

Abstract

Motif databases are used in the function and structure prediction of proteins which appear on new and rapid release of raw data from genome sequencing projects. Recently, the frequency of use about these databases increases continuously. However, existing motif databases were developed and extended independently and were integrated mainly by using a web-based cross-reference, thus these databases have a heterogeneous search result problem, a complex query process problem and a duplicate database entry handling problem. Therefore, in this paper, we suppose physical motif resource integration and describe the integrated search method about a family-based protein prediction for solving above these problems. Finally, we estimate our implementation of the motif integration database and prediction system for predicting protein motifs.


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Cite this article
[IEEE Style]
L. B. Ju, C. E. Seon, L. G. Ho, "Implementation of Protein Motif Prediction System Using integrated Motif Resources," The KIPS Transactions:PartD, vol. 10, no. 4, pp. 679-688, 2003. DOI: 10.3745/KIPSTD.2003.10.4.679.

[ACM Style]
Lee Beom Ju, Choe Eun Seon, and Lyu Geun Ho. 2003. Implementation of Protein Motif Prediction System Using integrated Motif Resources. The KIPS Transactions:PartD, 10, 4, (2003), 679-688. DOI: 10.3745/KIPSTD.2003.10.4.679.